The U.S. Exports Commodity Classification CD-ROM is a reference tool that will help you quickly find the 10-digit HS-Based Schedule B numbers for commodities. It contains the complete database of commodity codes and descriptions as well as powerful software for searching the database. It is a Windows 3.1 application.Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chap el Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

In any pattern for which the aggregate value of the articles listed in additional U.S. note 6(b) of this chapter is not over $38

Other raw hides and skins (fresh, or salted, dried, limed, pickled or otherwise preserved, but not tanned, parchment-dressed or further prepared), whether or not dehaired or split, other than those excluded by note 1(b) or 1(c) to this chapter:

Wool apparel as provided in note 11(a)(i)(B) to this subchapter

B Sch Armaturen Spol Sr O Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

In any pattern for which the aggregate value of the articles listed in additional U.S. note 6(b) of this chapter is not over $56

Sch Metals South East Asia Sdn B Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Articles, except goods of heading 9802.00.91 and goods imported under provisions of subchapter XIX of this chapter and goods imported under provisions of subchapter XX, assembled abroad in whole or in part of fabricated components, the product of the United States, which (a) were exported in condition ready for assembly without further fabrication, (b) have not lost their physical identity in such articles by change in form, shape or otherwise, and (c) have not been advanced in value or improved in condition abroad except by being assembled and except by operations incidental to the assembly process such as cleaning, lubricating and painting

Abstract

Computers offer exciting approaches to teaching that were not even dreamed of twenty years ago, but the extent to which the educational potential of computer technology will be realized, remains to be seen. Use of computers can revolutionize teaching and learning and could bring advances that would improve education dramatically. Ordinary students would make massive gains and bright students could meet greater challenges. Wherever illiteracy is a problem, it would be eliminated and handicapped students would have vast new vistas opened to them.

Teacher attitudes toward computer technology may be a significant factor in the use of computers in education. Computer literate individuals will reap greater benefits than their counterparts who lack that knowledge. To promote computer literacy of both teachers and students, the government is investing considerably. To evaluate the impact of these investments and thereby help ensure that the intended results are achieved, Information and Communication Technology (ICT) literacy of students and teachers should be measured periodically. The Department of Census and Statistics and the Ministry of Education conducted a census on Computer Literacy of Academic Staff of Government Schools, Approved Private Schools and Pirivenas to find out the computer literacy levels of teachers and ICT related facilities and hardware available in schools. This census was conducted on 2nd November 2006.

Geographic coverage

National Coverage - Government Schools

Analysis unit

School Teacher

Universe

All Government Schools All Approved Private Schools All Pirivenas

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

Two census Schedules were used to collect data in this study. The first - Census Schedule 1 - was a structured questionnaire to get the information on the teacher's own perceptions on their competencies in ICT. The ICT literacy of teachers was not measured by actually testing it by administering a test by the teachers' own perceptions of their competencies. A brief description of the information collected by using Census Schedule 1 is given below.

Part A : School Information
Part B : Demographic Characteristics
Part C : Knowledge on Computers
Part D : Use of Application Software
Part E : Use of Computers
Part F : Use of Internet
Part G : Use E-Mail
Part H : Knowledge on Hardware
Part  I : Use of Computers for Teaching

The second schedule was used to get the information on the ICT related facilities available in schools and summary of three questions of the first schedule. These questions are number of teachers in the school who are aware about the computers and those who are computer literate and those who can read and understand documents written in English language.

Cleaning operations

Data editing and coding done by the Census and Statistic Department staff.

Verification of the data is done by the Education Ministry Staff.

Geographic coverage

The survey covers the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Enterprise

Kind of data

Sample survey data [ssd]

Sampling procedure

Outline of sample design:

A stratified multi-stage design has been adopted for the 67th round survey. The first stage units (FSU) is the census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) is enterprises in both the sectors. In case of large FSUs, one intermediate stage of sampling will be the selection of three hamlet-groups (hgs)/ sub-blocks (sbs) from each large rural/ urban FSU.

Sampling frame to be used for selection of first stage units

Census 2001 list of villages is used as the sampling frame for rural areas. Auxiliary information such as number of enterprises, number of workers, type of enterprises, activities of enterprises, etc. available from EC-2005 frame is used for stratification, sub-stratification and selection of enterprises.

In Kerala, list of panchayat wards as per Census 2001 will be used as frame since list of such wards is not available as per EC 2005 frame.

In the urban sector, EC-2005 frame is used for 26 cities with population more than a million as per census 2001. Although Mumbai is a million plus city, EC-2005 frame is not used for Mumbai because of identification problem for IV unit/blocks in the EC for the city. For other cities/towns (including Mumbai), UFS frame (2002-07 phase or latest available phase prior to 2002-07 if it is not available) is used.

Stratification:

Each district is a basic stratum in both rural and urban areas. However, in case of urban, each city with population of 1 million or more as per Census 2001 forms a separate stratum and all other cities/towns of a district is grouped to form another stratum.

Sub-stratification:

(i) Rural: There is three sub-strata in the rural sector: (1) Villages with at least 5 establishments (NDE/DE) (see para 1.4.17 and 1.4.18 for definition of NDE/DE) under coverage in the manufacturing sector as per EC-2005 information; (2) Remaining villages having at least 5 NDE/DE under coverage in the services sector including trade as per EC-2005 information; (3) Remaining villages of the stratum.

For the State(s) where EC-2005 information cannot be used as auxiliary information for stratification/sub-stratification due to limitations of EC 2005 frame, each district is sub-stratified into 'r/4' sub-strata with a sample allocation of 4 per sub-stratum where 'r' is the sample allocation for the district/stratum. The sub-strata is formed by arranging the villages in terms of population so that total population of each sub-stratum is approximately the same.

(ii) Urban, Million plus cities (excluding Mumbai) : For each stratum / million plus city, 20 sub-strata will be formed as under: Sub-stratum 1: Blocks with one or more establishment in insurance & pension funding;
Sub-stratum 2: Remaining blocks with one or more establishment in storage & warehousing;
Sub-stratum 3: Remaining blocks with one or more establishment in accommodation;
Sub-strata 4-8: Remaining blocks with one or more establishment in broad activities of manufacturing (as per SSS formation discussed subsequently under para 1.3.10);
Sub-strata 9-12: Remaining blocks with one or more establishment in broad activities of trade (as per SSS formation in para 1.3.10);
Sub-strata 13-19: Remaining blocks with one or more establishment in broad activities of other services (as per SSS formation in para 1.3.10) excluding the activities covered under sub-strata 1-3.
Sub-strata 20: All remaining blocks of the stratum.

(iii) Urban, Other cities and towns (including Mumbai): Two sub-strata is formed: Sub-stratum 1: UFS block types: Bazaar area (BA)/ Industrial area (IA)/ Hospital area/ (HA)/ Slum area (SA) which are likely to contain relatively higher number of enterprises;
Sub-stratum 2: Remaining UFS blocks of the stratum.

If the number of FSUs in the frame of a rural or urban sub-stratum is found to be less than 8, then separate sub-stratum is formed and it is merged with the adjacent sub-stratum. There is only one town (Leh) in Leh district and one town (Kargil) in Kargil district of J & K. These two towns are out of UFS coverage. These are treated as sub-stratum 2 and the entire town is treated as one FSU.

Total Sample size (FSUs):

A sample of 16000 FSUs for central sample and 17176 FSUs for state sample have been allocated at all-India level.

Allocation of total sample FSUs:

(i) All-India allocation over States: All-India sample size (FSUs) have been allocated to different State/UTs taking into account the minimum allocations required for a State/UT and the proportion of non-agricultural workers as per EC-2005 in the State/UT.

(ii) State/UT allocation over rural/urban sectors: State/UT sample sizes is allocated to rural and urban sectors of the State/UT in proportion to number of non-agricultural workers as per EC-2005 with the constraint that urban allocation should not be too high compared to rural allocation and both rural and urban allocations is in multiples of 8.

(iii) State × sector allocation over strata: Stratum allocations of State/UT sample sizes for each sector is made in proportion to number of non-agricultural workers as per EC-2005. For the States/UTs where census 2001 frame was used in the rural sector, allocations to strata are made in proportion to population as per census.

(iv) Stratum allocation over sub-strata: Allocations to sub-strata are made: (a) In proportion to number of non-agricultural workers as per EC-2005 in rural sector as well as in million plus cities (after assuming the number as 1 for those villages/blocks where number of non-agricultural workers is 0); (b) In proportion to number of blocks with a double weight to sub-stratum 1 for other than million plus cities.

Minimum allocation for a sub-stratum is 4.

Selection of FSUs: (a) Rural & million plus cities: From each sub-stratum, required number of sample villages/blocks will be selected by probability proportional to size with replacement (PPSWR), size being the number of total non-agricultural workers under coverage in the village/block as per EC-2005. For the State(s) where EC-2005 information cannot be used as auxiliary information for selection of FSUs due to limitations of EC 2005 frame, size for PPSWR selection is the population of the village as per Census 2001.

(b) Urban (other than million plus cities): From each sub-stratum FSUs are selected by using Simple Random Sampling Without Replacement (SRSWOR). However, for Leh and Kargil towns, each town is selected 4 times, once in each sub-round. Both rural and urban samples is drawn in the form of two independent sub-samples and equal number of samples is allocated among the four sub rounds.

Formation of segment 9 and selection of hamlet-groups/ sub-blocks

Proper identification of the FSU boundaries: The first task of the field investigators is to ascertain the exact boundaries of the sample FSU as per its identification particulars given in the sample list. For urban samples, the boundaries of each FSU may be identified by referring to the map corresponding to the frame code specified in the sample list (even though map of the block for a latter period of the UFS might be available).

Formation of Segment 9: Having determined the boundaries of the sample FSU, all non-agricultural enterprises having 20 or more workers in the entire FSU and having operated at least one day during last 365 days preceding the day of survey (hereinafter to be called as 'big enterprises') are listed and all the eligible units under coverage are surveyed. All the listed big units (whether under coverage or not) constitute segment 9. All eligible enterprises under coverage were surveyed in segment 9.

Criterion for hamlet-group/ sub-block formation: Having constituted segment 9 as stated above, it is to be determined whether listing is done in the whole sample FSU or not. For this, approximate present population (P) and approximate total number of non-agricultural enterprises (E) for the whole FSU may be ascertained first from knowledgeable persons. Depending upon the values of 'P' and 'E', it is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. Final value of 'D' is the higher of the two values 'P' and 'E' based on the dual criteria. While considering enterprise criteria, segment 9 enterprises, if any, may be excluded from the count of 'E', if possible.

For rural areas of Himachal Pradesh, Sikkim, Uttarakhand (except four districts Dehradun (P), Nainital (P), Hardwar and Udham Singh Nagar), Poonch, Rajouri, Udhampur, Doda, Leh (Ladakh), Kargil districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups is formed as follows: population (P) | no. of hgs/ sbs to be formed | no. of non-agricultural enterprises (E) | no. of hgs/ sbs to be formed
less than 600 | 1 | less than 120 | 1
600 - 799 | 4 | 120 - 159 | 4
800 - 899 | 5 | 160 - 199 | 5
1000 - 1199 | 6 | 200 - 239 | 6
and so on | … | and

Abstract

The Colombo Consumers' Price Index (CCPI) which was introduced in 1952 by the Department of Census and Statistics and which is now published on the last working day of every month is the official index by which changes in price levels of consumer goods and services in Sri Lanka are measured. Since then the index has been used to date for very vital purposes as described below. It is used for multi-purpose functions such as :

                              for conversion of total current values of national income up to fixed values, 
                              policy making on monetary income and wages, 
                              payment of salaries and wages, 
                              providing social security facilities and analysis of economic and social activities. 

Thus the government mechanism and the non-government organizations use this index as the vital official measurement unit in the fields of financial, revenue, salaries, wages and socio-economic policy making.

Geographic coverage

All urban Divisions in Colombo District

Analysis unit

Commodities (in Retail outlets in Colombo City)

Universe

Retail commodity prices of the goods in Colombo MC and suburban areas

Kind of data

Observation data/ratings [obs]

Sampling procedure

The Weekly Test Purchases operation is not a sample survey. But the following points should be noted:-

From each market, about five outlets have been identified for this operation. Out of the five outlets three are visited by the enumeretors regularly. The selected three outlets in each market are usually visited in every price collection day of the week. The fourth & the fifth outlets will be kept as optional in case the regular outlets are not operational due to some reason.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaires,

  01  A , B , C , D , E - Food Items

  02  Mis01,Mis02,Mis03,Mis04,Mis05,Mis06,Mis07,Mis08 - Non Food Items

General Instructions in filling Forms:

***Group I Form

Price quotations should be collected in few representative and fixed open market retail outlets or stalls in the main marketing area of the Town on morning (9 to 12) of Tuesdays 1st and 3rd week

This price schedule should be perfected and sent by post to the Director Prices and Wages Division in the same week.

***Group II Form

Price quotations required should be obtained once a month from the same outlets, which should be chosen from the selected establishments listed above.

If a particular item is not available in the selected retail outlet, Price quotations may be obtained from the other establishments, whose address should be given. If the item is not available at all in the town, the price of substitute item which resembles most closely the specified item should be priced and brand name, weight should be entered in the form. Brand name and weight of "other" item where it is priced should also be given.

***Group III Form

The item should be selected under specification which has been mentioned here. Two price quotations should be obtained quarterly from the same establishments as far as possible and prices should be collected from the same establishment in future too.

If a particular item is not available in the selected retail outlets, price quotations may be obtained from the reserve or other establishments whose address should be given. If the item is not available at all in the town, the price of a substitute item which resembles most closely the specified item should be entered in the form. Brand name and Weight of "Other" item where it is priced should also be given.

Where transactions take place in other than metric units, the weight of volume of the item priced should be carefully recorded in grams or milli-liters in the space provided.

When you complete item 4 in 1st page of schedule cross-out months except the price collection month.

***Producers' Prices Form

You are instructed to obtain the Producers' prices once a month from selected two main producing centers, and few other production centers are selected for all other agriculture production. The district officer can select the producing centers with the help of the field officer in the respective DS Division. The farm-gate price of every item should be completed in column 4,5,and 6 by the field officer and monthly average prices given in the pricing schedules should be recorded systematically in a price list or in the register maintained in your office.

The average price for three columns (4,5 and 6) should be computed and recorded in the 7th column. If there is noticeable change in average price of column 7 and 8 or if current available price in column 7 is not available. Please give your reasons in column 9. Livestock prices should be collected quarterly and for this purpose the second month of each quarter is more appropriate. (Feb, May, Aug, Nov)

You are advised to collect the prices during the second week of each month and the completed forms should be sent to the Director, Prices and Wages Division by post on or before the given date.

PRODUCERS' PRICE - This is at the farm-gate price or at village market price (pola) charged to customer/buyer. This value figures should include all duties and taxes which fall on products when they leave the farm-gate, but should exclude any subsidies received. This valuation should exclude any transport charges that may be invoiced to the purchaser or user.

Sampling error estimates

Usually the prices collected should fall within a range accepted by the Prices and Wages Division staff. If by chance, an abnormally high or a low price have been recorded, that price item will be discarded and not taken for computation purposes.

In a rare situation where the prices of a commodity have not been recorded due to a problem in the market, then the previous day's recording will be assumed for the respective price collection round.